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Satellite Subsystem Automated Design

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Applicable when we can't simulate or evaluate the design performance automatically ... Solutions: produced by design team and GA ... – PowerPoint PPT presentation

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Title: Satellite Subsystem Automated Design


1
Satellite Subsystem Automated Design
  • Chahé Adourian
  • chahe.adourian_at_space.gc.ca
  • Software and Ground Segment Group
  • Canadian Space Agency

2
Outline
  • Introduction to automated design
  • Genetic algorithms
  • Applications
  • Summary
  • Recommendations

3
Automated Design - Intro
  • What it is not
  • An end-to-end design automation
  • Applicable when we can't simulate or evaluate
    the design performance automatically

4
Automated Design - Intro
  • What it is
  • A method to automate exploration of
  • Design alternatives and
  • Design parameters
  • A method to generate novel designs
  • A growing field

5
Automated Design Intro (cont'd)
  • When can we do Automated design?
  • Does it work?

6
Genetic Algorithms - intro
  • Derived from Darwin's evolution principle
  • Individuals start with a wide range of features
  • Features randomly selected
  • Fitness of individuals evaluated using Sizing
    function
  • Unfit Individuals eliminated
  • Features of surviving individuals semi-randomly
    mixed to generate offspring (breeding)
  • Process repeated
  • Population fitness keeps increasing

7
Genetic Algorithms - Advantages
  • Applicable to complex systems
  • Allows exploring many alternatives
  • Drops uninteresting alternatives
  • Avoids local minima
  • Capable of creative thinking
  • Robust
  • Scales well

8
Applications
  • A few applications of GA
  • Helicopter Conceptual Design
  • Hybrid Rocket Booster Design
  • Turbine Engine Design
  • Antenna Design

9
Applications Helicopter Conceptual Design
  • Goal design the MLR helicopter
  • Problem select its basic features
  • Solutions produced by design team and GA
  • Helicopter sizing function used to estimate
    performance (fitness)

10
Applications Helicopter Conceptual Design
(Cont'd)
  • Results

11
Applications Hybrid Rocket Booster Design
  • Goal design a rocket in the titan 34d-class
  • Problem determine main design variables
  • Solutions use GA to optimize for
  • Minimum inert weight
  • Minimum gross lift-off weight
  • Used HYROCS rocket sizing function

12
Applications Turbine Engine Design
Holland 92
13
Applications Antenna Design
  • Goal design antenna for ground-to-satellite
    communications
  • Problem determine shape of wire antenna
  • Design choices
  • Wire-antenna
  • Single feed point at the base

14
Applications Antenna Design (Cont'd)
  • Results
  • Cheap, robust antenna
  • 29 usable bandwidth
  • Excellent performance

15
Satellite Application
  • Conceptual and low-level design automation
  • Design automation for all subsystems
  • Require Sizing functions for all subsystems
  • Create library of S/C components
  • Develop automated design tools
  • Develop simulation technology for S/C subsystems
  • Require Standardized Simulation interfaces

16
Summary
  • Genetic Algorithms handle high-level low-level
    automated design
  • Proven for complex designs
  • Extend to S/C design

17
Recommendations
  • Produce sizing functions for all S/C subsystems
  • Once available, implement design automation with
    GA or other techniques
  • Consolidate industry effort
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